Main Tab 1

Column

Column Tab 1

this tab could be used for general information about the subject.

Column Tab 2

this tab could be used to introduce the topic in the way in which we are analyzing it.

Column Tab 3

Main Tab 2

Column

Significant Graphs:

Main Tab 3

Column

More Significant Graphs:


---
title: "Question 2"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source_code: embed
    social: menu
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(plotly)
library(knitr)
library(DT)
df <- read_csv('all-states-history.csv')

# Create a ggplot object
p <- df %>% 
  group_by(date) %>%
  ggplot()+ 
  geom_smooth(mapping = aes(x=date, y=hospitalizedCumulative))+
  labs(x='Date', y='cumulitive hospitilizations')

p1 <- df %>% 
  filter(state == "CT"|state == "RI"|state == "MA") %>%
  ggplot()+ 
  geom_smooth(mapping = aes(x=date, y=hospitalizedCumulative, color = state))+
  labs(x='Date', y='cumulitive hospitilizations', title = "local COVID Positive Rates")

p2 <- df %>%
  filter(state == "CT"|state == "RI"|state == "MA") %>%
  ggplot()+ 
  geom_point(mapping=aes(y=totalTestResults,x=date))+facet_wrap(~state)+
  labs(title = "tests by date", y = "total tests")

p3 <- df %>% 
  filter(state == "CT"|state == "RI"|state == "MA") %>%
  ggplot()+ 
  geom_smooth(mapping = aes(x=date, y=death, color = state))+
  labs(x='Date', y='Deaths', title = "local Death Rates")
```

{.sidebar}
=======================================================================

### 1. State Covid Data

The COVID outbreak caused many deaths and hardships. This dataset tracks the positive rates, deaths, test amounts and many more variables pertaining to COVID-19

### 2. Flexdashboard and Plotly

This interactive uses `flexdashboard` and `plotly` to visualize the data. 

Main Tab 1
=======================================================================

Column {data-width=500, .tabset}
-----------------------------------------------------------------------

### Column Tab 1

this tab could be used for general information about the subject.


### Column Tab 2

this tab could be used to introduce the topic in the way in which we are analyzing it.


### Column Tab 3

```{r}
datatable(df, options = list(
  pageLength = 25
))
```



Main Tab 2
=======================================================================

Column {data-width=500}
-----------------------------------------------------------------------

####    Significant Graphs:

```{r}
p
```

```{r}
p1
```



Main Tab 3
=======================================================================

Column {data-width=500}
-----------------------------------------------------------------------

#### More Significant Graphs:

```{r}
p2
```

```{r}
p3
```